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Splunk SPLK-5003 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Advanced Automation and Orchestration10%- Integration with enterprise systems and tools
- Designing scalable SOAR architectures
- Automation strategy and governance
Topic 2: Governance, Risk and Compliance10%- Aligning security with regulatory requirements
- Risk assessment and management frameworks
- Policy development and enforcement
Topic 3: Security Data Management20%- Data retention, storage, and archiving strategies
- Data quality, validation, and governance
- Enterprise-scale data ingestion and normalization
- Schema design and Common Information Model (CIM) implementation
Topic 4: Measuring and Improving Security Program Effectiveness15%- Maturity models and capability assessments
- Continuous monitoring and improvement processes
- Security metrics and KPIs design
Topic 5: Advanced Threat Intelligence and Analysis5%- Threat intelligence lifecycle management
- Integrating threat data into security architecture
- Advanced threat hunting methodologies
Topic 6: Advanced Incident Response and Management10%- Designing incident response frameworks
- Orchestrated response workflows
- Post-incident activities and continuous improvement
Topic 7: Security Capability Selection, Placement, and Configuration15%- Evaluating and selecting security technologies
- Optimization and tuning of security components
- Architectural placement and integration design
Topic 8: Scaling Cybersecurity Defenses and DevSecOps15%- Security in software development lifecycle
- Distributed and high-availability security deployments
- Cloud and hybrid environment security design

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Splunk Certified Cybersecurity Defense Architect Sample Questions (Q72-Q77):

NEW QUESTION # 72
An organization needs near real-time detection but also wants to avoid overwhelming indexers with expensive real-time searches. What is the best practice recommendation?

Answer: A

Explanation:
Splunk best practice favors scheduled searches over continuous real-time searches because real-time searches consume significant resources; short-interval scheduled searches with backfill provide near real-time detection with much lower overhead.


NEW QUESTION # 73
Which MLTK command can be combined with tstats in an ES detection to apply a machine learning model to search results?

Answer: B

Explanation:
The fit command is used in the Machine Learning Toolkit to train or apply a machine learning model to search results. In an Enterprise Security detection, it can be combined with tstats output so the model can analyze summarized event data efficiently.


NEW QUESTION # 74
A new system is being built to track the SBOMs for all applications that are used in the company.
What are the primary items this system is tracking?

Answer: C

Explanation:
An SBOM tracks the software components used in an application, including each component's name, version, license, and supplier. This information helps organizations identify vulnerable dependencies, understand software supply chain exposure, and meet compliance or audit requirements.


NEW QUESTION # 75
An organization is securing an endpoint using application allowlisting. Which of the following processes is this technology heavily dependent on? (Choose all that apply.)

Answer: B,D

Explanation:
Application allowlisting depends heavily on change control and configuration management because approved software, versions, paths, hashes, publishers, and policy exceptions must be governed carefully. These processes ensure only authorized application changes are permitted while keeping endpoint configurations accurate and maintainable.


NEW QUESTION # 76
Which of the following is the most appropriate metric to track SOC analyst efficiency over time?

Answer: D

Explanation:
Mean time to respond is a direct measure of how quickly the SOC acts on detected incidents, making it a core efficiency metric, unlike infrastructure-related counts that don't reflect analyst performance.


NEW QUESTION # 77
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